Multi-agent Online Learning with Asynchronous Feedback Loss

neural information processing systems, 2018.

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Abstract:

We consider a game-theoretical multi-agent learning problem where the feedback information can be lost and rewards are given by a broad class of games known as variationally stable games. We propose a simple variant of the online gradient descent algorithm, called reweighted online gradient descent (ROGD) and show that in variationally st...More

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